---
license: other
task_categories:
- text-classification
task_ids:
- multi-label-classification
language:
- de
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: POEMOGermanEmotionClassification
tags:
- poetry
- german
- emotion-classification
- aesthetic-emotions
- multi-label-classification
- line-level
- mteb
- poetrymteb
- embedding-evaluation
annotations_creators:
- expert-generated
source_datasets:
- tnhaider/poetry-emotion
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  default: true
dataset_info:
- config_name: default
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: author
    dtype: string
  - name: year
    dtype: string
  - name: period
    dtype: string
  - name: poem
    dtype: string
  - name: labels
    sequence: int64
  - name: label_names
    sequence: string
  - name: source
    dtype: string
  splits:
  - name: train
    num_examples: 2494
  - name: test
    num_examples: 1070
---

# POEMOGermanEmotionClassification

Line-level **multi-label aesthetic emotion classification** for German poetry (PoetryMTEB), derived from [PO-EMO](https://github.com/tnhaider/poetry-emotion) (Haider et al., LREC 2020).

## Dataset Card

| Item | Description |
|------|-------------|
| **Source** | [tnhaider/poetry-emotion](https://github.com/tnhaider/poetry-emotion) |
| **Paper** | [PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry](http://www.romanklinger.de/publications/HaiderEgerKimKlingerMenninghaus2020LREC_PO-EMO.pdf) (LREC 2020) |
| **Languages** | German (`de`) |
| **Unit** | Verse **line** (`poem` field holds one line) |
| **Labels** | Up to **2** of 9 aesthetic emotions (multi-label) |
| **train** | Non-gold dual-annotator lines (union ≤2) **+** a poem-level subset of `XMLGold` moved so `Nostalgia` appears in train |
| **test** | Remaining `XMLGold` gold / adjudicated `emo1`/`emo2` |
| **Anti-leakage** | Gold poems matched in the complete TSV stay out of the dual-annotator train; no poem is split across train/test; train∩test line text = ∅ |
| **Size** | train=2494; test=1070 |
| **Evaluation metrics** | Multi-label classification on embeddings: **macro/micro F1**, **Average Precision (AP)** |

### Split anti-leakage checks

| Check | Result |
|-------|--------|
| Gold poems matched in complete TSV & removed from dual-annotator train | 47 poem_ids |
| Train ∩ test normalized line text | 0 |
| Train poems | 113 |
| Test poems | 42 |
| Gold poems moved to train (for Nostalgia coverage) | 6 poems / 38 Nostalgia lines |

## Label taxonomy (9)

| id | label_name | train | test | total |
|---:|------------|------:|-----:|------:|
| 0 | `Beauty/Joy` | 1036 | 267 | 1303 |
| 1 | `Sadness` | 611 | 172 | 783 |
| 2 | `Uneasiness` | 610 | 154 | 764 |
| 3 | `Vitality` | 439 | 166 | 605 |
| 4 | `Awe/Sublime` | 261 | 154 | 415 |
| 5 | `Suspense` | 265 | 151 | 416 |
| 6 | `Annoyance` | 120 | 168 | 288 |
| 7 | `Humor` | 184 | 74 | 258 |
| 8 | `Nostalgia` | 38 | 32 | 70 |

Codebook: `label_taxonomy.json`.

## Features

| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Example id |
| `title` | string | Poem title |
| `author` | string | Poet |
| `year` | string | Publication year |
| `period` | string | Literary period (when available) |
| `poem` | string | **Line** text (classification input) |
| `labels` | list[int64] | Emotion class indices (0–8), length 1–2 |
| `label_names` | list[string] | Canonical emotion names |
| `source` | string | `dual_annotator_union` / `XMLGold_to_train` (train) or `XMLGold` (test) |

## Construction method

1. Parse `XMLGold/*.xml` TEI lines; take gold attributes `emo1` / `emo2` (normalize to the 9-class scheme).
2. **train (dual-annotator)**: read `tsv/poemo.german.complete.prodody.emotion.tsv`; union of `emotion{1,2}anno{1,2}`, drop `NONE`, cap at ≤2 (frequency-preferring). Exclude poems that fingerprint-match gold (exact or Jaccard ≥ 0.7) and any line text overlapping gold.
3. **Nostalgia coverage**: because non-gold train had **0** `Nostalgia` lines, move ~50% of Nostalgia-bearing **gold poems** (whole poem, seed=42) into train (`source=XMLGold_to_train`); the rest stay in test.
4. Drop lines with no remaining emotion labels.

## Citation

```bibtex
@inproceedings{Haider2020,
  author = {Thomas Haider and Steffen Eger and Evgeny Kim and Roman Klinger and Winfried Menninghaus},
  title = {{PO-EMO}: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in {German} and {English} Poetry},
  booktitle = {Proceedings of the 12th International Conference on Language Resources
	and Evaluation (LREC'20)},
  year = {2020},
  editor = {Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Hrafn
	Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno
	and Jan Odijk and Stelios Piperidis},
  address = {Marseille, France},
  month = {May},
  publisher = {European Language Resources Association (ELRA)},
  date = {11-16},
  language = {english},
  url = {http://www.romanklinger.de/publications/HaiderEgerKimKlingerMenninghaus2020LREC_PO-EMO.pdf}
}
```

Upstream repository: https://github.com/tnhaider/poetry-emotion

## License

Follow the upstream [PO-EMO](https://github.com/tnhaider/poetry-emotion) repository terms for redistribution of the annotations and texts.